This paper describes vessel enhancing diffusion (VED) filters implemented
using the Insight Toolkit (ITK). The filters are implementation of the
VED algorithm developed by Manniesing et al . The VED algorithm follows a
multiscale approach to enhance vessels using anisotropic diffusion scheme guided
by vesselness measure at a pixel level. Vesselness is determined by geometrical
analysis of the Eigen system of the Hessian matrix. For this purpose, a smoothed version of the Frangi's
vesselness function is formulated. Experiments were conducted to evaluate the performance
of the VED filters in enhancing vessels in lung CT scan.